119 search results - page 3 / 24 » Discovering word senses from text |
COLING
1990
13 years 8 months ago
1990
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
IRCDL
2007
13 years 8 months ago
2007
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
CICLING
2007
Springer
14 years 1 months ago
2007
Springer
Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) s...
ACL
2003
13 years 8 months ago
2003
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...
NLDB
2005
Springer
14 years 25 days ago
2005
Springer
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...